Author

Samuel F. W. Bakhoum

Memorial Sloan Kettering Cancer CenterORCID 0000-0002-4779-8422Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Cancer Biology· 2 Genetic & Genomic Medicine· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Approach:deep learning· 2 Research Focus:differential expression· 2 Research Focus:cell type annotation· 1 Research Focus:chromatin & epigenetic regulation· 1 Research Focus:clustering· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1

Frequent Co-Authors

Aamir Dohadwala· 1 shared Adam C. WeineriD· 1 shared Adriana Roopnariane· 1 shared Agnes J. VialeiD· 1 shared Akanksha VermaiD· 1 shared Allen W. ZhangiD· 1 shared Andrew McPhersoniD· 1 shared Arshi Arora· 1 shared

Activity by Year

2021-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 18 mutual co-author links

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1 shared paperCancer Biology

Aamir Dohadwala

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3 papers

Recent·Most cited

KIF18A Inhibition as a Therapeutic Strategy in Cancers with Rb Pathway Inactivation

Celia Andreu, Arshi Arora, Song Chen, Chaithanya P. Vedula, Adriana Roopnariane, Sarah E. Bettigole, Nazario Bosco, Aamir Dohadwala, the SOVI-2302 Investigators, The VLS-1488-2201 Investigators, David Southwell, Neil J. Ganem, Timothy Geoffrey Bowler, Samuel F. W. Bakhoum

This paper identifies p16INK4a expression as a predictive biomarker for KIF18A inhibitor response in cancers with Rb pathway inactivation, showing higher response rates and longer progression-free survival in p16INK4a-high tumors.

bioRxiv · Apr 20, 2026 · PreprintCancer Biology

Ongoing genome doubling promotes evolvability and immune dysregulation in ovarian cancer

Andrew McPherson, Ignacio Vázquez-Garćıa, Matthew A. Myers, Duaa Hassan Al-Rawi, Matthew Zatzman, Adam C. Weiner, Samuel S. Freeman, Neeman Mohibullah, Gryte Satas, Marc J. Williams, Nicholas Ceglia, Danguolė Norkūnaitė, Allen W. Zhang, Jun Li, Jamie L. Lim, , Sohrab P. Shah

This study shows that ongoing whole-genome doubling in ovarian cancer promotes cell diversity and immune dysregulation through chromosomal instability and quiescent states.

Nature · Jul 16, 2025Peer-reviewedCancer Biology

Using Histopathology Images to Predict Chromosomal Instability in Breast Cancer: A Deep Learning Approach

Zhuoran Xu, Akanksha Verma, Uska Naveed, Samuel F. W. Bakhoum, Pegah Khosravi, Olivier Elemento

This study uses deep learning to predict chromosomal instability (CIN) in breast cancer from histopathology images, achieving an AUC of 0.822 in a test set.

iScience · Apr 3, 2021Peer-reviewedGenetic & Genomic Medicine